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Massachusetts Institute of Technology

Opportunities for human-interfaced capacitive sensing in building environments

Abstract

dc:description.abstract

This work presents several types of novel long-range capacitive sensors that enable better detection of how people move through buildings, presenting ample opportunity for smart lighting and utility control. Various arrangements of sensors on walls, ceilings, and floors turn building surfaces into sensor systems. These systems offer presence and motion detection, and each sensor can also act as a short-range imaging and material detection device. The ability to detect materials in occupants enables this sensor system to act as a non-intrusive security scanning device, improving the confidence of security personnel and easing concerns of travelers and building occupants. Each component of the sensor is modeled physically for electrostatic simulations, and electrically in circuit form. These accurate simulations validate experimental data and confirm a lumped-capacitance system model, as well as provide a tool for designing sensor systems prior to installation.

Degree

thesis:*
Department dc:contributor.department
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science.
Grantor dc:publisher
Massachusetts Institute of Technology
Year dc:date.issued
2015

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Sennett, Brian (Brian R.)
Advisor dc:contributor.advisor
  • Peter Lindahl and Steven B. Leeb.

Subjects

dc:subject × 1

Rights

dc:rights
Statement dc:rights
  • M.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission.
Language dc:language.iso
eng

Identifiers

dc:identifier.*
Handle dc:identifier.uri
http://hdl.handle.net/1721.1/100625
OAI identifier oai:identifier
oai:dspace.mit.edu:1721.1/100625

Chain of custody

source
Harvested from
MIT
Base URL
dspace.mit.edu/oai/request
Last updated
2026-07-22
Source record
OAI-PMH GetRecord
citation

Sennett, Brian (Brian R.). Opportunities for human-interfaced capacitive sensing in building environments. Massachusetts Institute of Technology, 2015. http://hdl.handle.net/1721.1/100625